Data Solutions Engineer
$130,000–$180,000 year
HybridNew York City, New York, United States or New York, United States
Job Summary
Own data migrations end-to-end by working directly with government staff to configure schema mappings, run validations, and ensure accurate data lands in GovWell. Act as the gatekeeper for data quality by identifying gaps and inconsistencies in legacy systems before they reach production, making documented judgment calls on messy inputs. Serve as the technical face of onboarding by leading customer calls to explain tradeoffs and guide agencies through transitions from legacy systems to GovWell. Use internal tools and playbooks to reduce time-to-launch, then close the feedback loop with Product and Engineering to document recurring issues and drive platform evolution. This role reports to the Co-Founder and CTO, focusing on maturing the onboarding process for the AI operating system serving millions of residents across 35 states.
Required Qualifications
- 2-4 years of hands-on experience in data migrations, ETL/ELT, technical implementations, or a closely related role working with messy, real-world production data
- Demonstrated ability to work directly in a Python codebase day-to-day (reading, debugging, and shipping changes via PRs)
- Strong SQL proficiency used in practice for analysis, validation, reconciliation, and transformation work
- Experience translating ambiguous stakeholder requirements into concrete, testable migration/implementation plans
- Track record of operating in execution-heavy environments with high ownership and high attention to correctness
- Hybrid work culture that combines regular in-person collaboration at our New York City office (3+ days per week) with flexibility to work remotely
Desired Qualifications
- Experience with workflow orchestration and pipeline operations (Airflow, Dagster, Prefect, etc.), including interpreting logs, safe reruns, and handling large backfills/imports
- Experience with customer-facing implementation/onboarding work (especially where you need to explain constraints and tradeoffs to non-technical stakeholders)
- Familiarity with geospatial data concepts or GIS tooling (e.g., ArcGIS, address/parcel data), or strong willingness to learn quickly
- Experience in B2B SaaS (or similarly complex product domains) where data correctness materially impacts user workflows
- Experience partnering closely with product/engineering teams to turn recurring operational pain into playbooks, tooling improvements, and system-level fixes
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